AttackSurfaceMapper (ASM) is a reconnaissance tool that uses a mixture of open source intelligence and active techniques to expand the attack surface of your target. You feed in a mixture of one or more domains, subdomains and IP addresses and it uses numerous techniques to find more targets. It enumerates subdomains with bruteforcing and passive lookups, Other IPs of the same network block owner, IPs that have multiple domain names pointing to them and so on.
Once the target list is fully expanded it performs passive reconnaissance on them, taking screenshots of websites, generating visual maps, looking up credentials in public breaches, passive port scanning with Shodan/Censys and scraping employees from LinkedIn.
As this is a Python based tool, it should theoretically run on Linux, ChromeOS (Developer Mode), macOS and Windows.
git clone https://github.com/superhedgy/AttackSurfaceMapper cd AttackSurfaceMapper
python3 -m pip install --no-cache-dir -r requirements.txt
Register and obtain an API key from:
Edit and enter the keys in keylist file
python asm.py -t your_site.com -ln -w resources/top100_sublist.txt -o demo_run
Additional optional parameters can also be set to choose to include active reconnaissance modules in addition to the default passive modules.
|<------ AttackSurfaceMapper - Help Page ------>| positional arguments: targets Sets the path of the target IPs file. optional arguments: -h, --help show this help message and exit -f FORMAT, --format FORMAT Choose between CSV and TXT output file formats. -o OUTPUT, --output OUTPUT Sets the path of the output file. -sc, --screen-capture Capture a screen shot of any associated Web Applications. -sth, --stealth Passive mode allows reconnaissance using OSINT techniques only. -t TARGET, --target TARGET Set a single target IP. -V, --version Displays the current version. -w WORDLIST, --wordlist WORDLIST Specify a list of subdomains. -sw SUBWORDLIST, --subwordlist SUBWORDLIST Specify a list of child subdomains. -e, --expand Expand the target list recursively. -ln, --linkedinner Extracts emails and employees details from LinkedIn. -d, --debug Enables debugging information. -v, --verbose Verbose output in the terminal window. Authors: Andreas Georgiou (@superhedgy) Jacob Wilkin (@greenwolf)